Research Lead / Senior Scientist (DMPK), London
Core
Lead DMPK strategy for drug discovery projects using AI-first approaches to predict human dosing, efficacy, and safety windows.
Role type
Senior DMPK Lead / Scientist
Builds
Clinical candidates and AI/ADME models
Domain
Pharmaceutical R&D / Drug Discovery / AI for Science
Deliverable
production ML models
Required skills
DMPK strategy design, quantitative pharmacology, PKPD principles, biotransformation, regulatory document authoring, preclinical/clinical team collaboration, NAMs application, molecule design optimization
Preferred skills
PKPD modelling, machine learning techniques, R, Python, KNIME
Technologies
AI/ML, PBPK, KNIME, R, Python
Responsibilities
Design stage-appropriate DMPK strategies with AI integration; define screening cascades and mechanistic experiments; integrate DMPK/PD/toxicological data for decision-making; define Quantitative Pharmacology strategy; optimize Iso's datasets for DMPK questions; optimize molecule design based on physico-chemistry; author DMPK sections of regulatory documents.
Seniority
Senior, hands-on IC with strategic direction
